وظائف مطورين بايثون - جدة السعودية

تبحث Mindrift عن متخصصين مهرة في استخراج البيانات عبر الويب للانضمام إلى مشروع Tendem (https://tendem.ai/) وتوجيه تدفقات عمل استخراج البيانات المتخصصة لحالات الاستخدام الواقعية.<br><br>تبحث Mindrift عن مهندسين بارعين في استخراج بيانات بايثون للانضمام إلى مشروع Tendem وتوجيه تدفقات عمل استخراج البيانات المتخصصة لتطبيقات العالم الواقعي.<br><br>في هذا الدور، ستطبق خبرتك في استخراج الويب، واستخراج البيانات، ومعالجتها لتقديم نتائج دقيقة وموثوقة وعالية الجودة. هذه الفرصة العمل الجزئي عن بُعد مثالية للمهنيين التقنيين ذوي الخبرة العملية في استخراج الويب، واستخراج البيانات، ومعالجتها.<br><br>ما الذي نقوم به<br><br>تربط منصة Mindrift المتخصصين بمشروعات تقنية مبتكرة. هدفنا هو المساعدة في تطوير تقنيات ذكاء اصطناعي عالية الجودة من خلال دمج الخبرة الواقعية من المحترفين عبر العالم مع جهود تطوير الذكاء الاصطناعي المتقدمة.<br><br>حول الدور<br><br>هذه وظيفة مستقلة لمشروع Tendem. كمهندس استخراج بيانات بايثون، ستتعامل مع مهام استخراج البيانات التي تتطلب دقة تقنية في الاستخراج والمعالجة عبر الويب، مستخدمًا أدوات مثل Apify وOpen Router وغيرها من التقنيات، إلى جانب خبرتك ومنهجياتك الفنية الخاصة.<br><br>المسؤوليات الأساسية<br><br>امتلاك تدفقات استخراج البيانات من النهاية إلى النهاية عبر مواقع معقدة، مع ضمان التغطية الكاملة والدقة وتوفير مجموعات بيانات مهيكلة بشكل موثوق استخدم الأدوات المتاحة وتدفقات العمل المخصصة لتسريع جمع البيانات والتحقق وتنفيذ المهام مع الالتزام بالمتطلبات المحددة ضمان استخراج موثوق من مصادر ويب ديناميكية وتفاعلية، مع تعديل الأساليب حسب الحاجة للتعامل مع المحتوى المولد بواسطة جافا سكريبت وسلوك الموقع المتغير فرض معايير جودة البيانات من خلال فحوص التحقق والتحقق من التناسق بين المصادر والالتزام بتنسيق البيانات والتحقق المنهجي قبل التسليم توسيع عمليات الاستخراج لمجموعات بيانات كبيرة باستخدام تطبيق دفعات فعال أو تتوازي، رصد الإخفاقات والحفاظ على الاستقرار أمام تغييرات بسيطة في بنية الموقع<br><br>المؤهلات التعليمية<br><br>على الأقل 3+ سنوات من الخبرة ذات صلة في هندسة البيانات، استخراج الويب، الأتمتة، أو تطوير البرمجيات (مطلوب) درجة البكالوريوس أو الماجستير في الهندسة، الرياضيات التطبيقية، علوم الكمبيوتر، أو مجالات تقنية ذات صلة ميزة إضافية<br><br>الخبرة الأكاديمية و/أو المهنية<br><br>يجب أن يمتلك المرشحون أساساً تقنياً قوياً وخبرة عملية في البرمجة النصية، الأتمتة، وتدفقات استخراج البيانات. نحن نبحث عن متخصصين يمكنهم حل المشكلات غير البسيطة، والعمل بثقة مع تقنيات الويب الحديثة وأدوات معالجة البيانات، وجمع البيانات من مصادر متنوعة وتنظيمها والتحقق منها بشكل منهجي. نهج منهجي وتفصيلي والقدرة على العمل بشكل مستقل أمران أساسيان.<br><br>المهارات التقنية (أساسية)<br><br>خبرة قوية في استخراج الويب باستخدام بايثون (Beautiful Soup، Selenium أو ما يشابه)، بما في ذلك المحتوى الديناميكي (JS، AJAX، التمرير اللانهائي) وواجهات برمجة التطبيقات عبر وكيل الوصول الثانوي إثبات القدرة على استخراج البيانات من هياكل معقدة (التراكيب، الصفحات المؤرشفة، HTML غير المتسق) خلفية صلبة في تنظيف البيانات، التطبيع، والتحقق، تقديم مجموعات بيانات مهيكلة (CSV، JSON، جوجل شيتس)<br><br>متطلبات إضافية<br><br>خبرة عملية مع نماذ النماذج اللغوية الكبيرة وأطر IA لتعزيز الأتمتة وحل المشكلات اهتمام قوي بالتفاصيل والتزام بدقة البيانات العمل الموجه ذاتياً مع القدرة على استكشاف الأخطاء وإصلاحها بشكل مستقل ارتباط GitHub ميزة إضافية الكفاءة الإنجليزية: مستوى فوق المتوسط (B2) أو أعلى (مطلوب)<br><br>توقعات وقت المشروع<br><br>لهذا المشروع، من المتوقع أن تتطلب المهام نحو 10-20 ساعة في الأسبوع خلال المراحل النشطة، بناءً على متطلبات المشروع. هذه تقديرات وليست عبء عمل مضمون، وتطبق فقط أثناء نشاط المشروع.<br><br>التعويض<br><br>في هذا المشروع، يمكن للمساهمين أن يكسبوا حتى 37 دولاراً في الساعة المعادلة، اعتماداً على مستواهم وسرعة مساهمتهم.<br><br>يتفاوت التعويض عبر المشاريع اعتماداً على النطاق والتعقيد ومتطلبات الخبرة. يرجى ملاحظة أن مشاريع أخرى على المنصة قد تقدم مستويات ربح مختلفة وفقاً لمتطلباتها.

Please submit your CV in English and indicate your level of English proficiency. <br><br>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<br><br>What This Opportunity Involves<br><br>While each project involves unique tasks, contributors may:<br><br>Design original computational biology problems that simulate real biology research workflows; Create problems requiring Python programming to solve (using Numpy, Sci Py, Bio Python); Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); Develop problems requiring non-trivial reasoning chains in bioinformatics, systems biology, and molecular modeling; Base problems on real research challenges or practical applications from biology practice; Verify solutions using Python with standard computational biology libraries; Document problem statements clearly and provide verified correct answers<br><br>What We Look For<br><br>This opportunity is a good fit for biology specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:<br><br>Degree in Biology or related fields; Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, Sci Py, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; 2+ years of professional experience: applied, research, or teaching experience is applicable; Experience with biological data analysis and algorithms; Familiarity with bioinformatics tools and computational methods; Strong written English (C1+)<br><br>How It Works<br><br>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid<br><br>Project time expectations <br><br>For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.<br><br>Compensation<br><br>On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution.<br><br>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Please submit your CV in English and indicate your level of English proficiency. <br><br>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<br><br>What This Opportunity Involves<br><br>While each project involves unique tasks, contributors may:<br><br>Design rigorous Computer Science problems reflecting professional practice; Evaluate AI solutions for correctness, assumptions, and constraints; Validate calculations or simulations using Python (Num Py, Pandas, Sci Py); Improve AI reasoning to align with industry-standard logic; Apply structured scoring criteria to multi-step problems;Collaborate with a global community of PhDs to ensure the highest scientific integrity<br><br>What We Look For<br><br>This opportunity is a good fit for Computer Science experts with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:<br><br>Degree in Computer Science or related fields. Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, Sci Py, domain-specific libraries, Stata or knowledge of any programming language can be equivalent. 2+ years of professional experience: applied, research, or teaching experience is applicable. Strong written English (C1+) Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage<br><br>How It Works<br><br>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid<br><br>Project time expectations <br><br>For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.<br><br>Compensation<br><br>On this project, contributors can earn up to $40 per hour equivalent, depending on their level and pace of contribution.<br><br>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Mindrift is looking for highly skilled Web Scraping specialists to join the Tendem project (https://tendem.ai/) and drive specialized data scraping workflows for real-world use cases.<br><br>Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br><br>In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.<br><br>What We Do<br><br>The Mindrift platform connects specialists with innovative technology projects. Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br><br>About The Role<br><br>This is a freelance role for a Tendem project. As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, Open Router, and other technologies, alongside your own technical expertise and approaches.<br><br>Key Responsibilities<br><br>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle Java Script-rendered content and changing site behavior Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes<br><br>Educational Qualifications<br><br>At least 3+ years of relevant experience in data engineering, web scraping, automation, or software development (required) Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus<br><br>Academic and/or Professional Experience<br><br>Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. We are looking for specialists who can solve non-trivial problems, work confidently with modern web technologies and data processing tools, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.<br><br>Technical Skills (Essential)<br><br>Strong experience in Python web scraping (Beautiful Soup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)<br><br>Additional Requirements<br><br>Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to Git Hub is a plus English proficiency: Upper-intermediate (B2) or above (required)<br><br>Project time expectations <br><br>For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.<br><br>Compensation<br><br>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.<br><br>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system. <br><br>In this role, as an AI Pilot - that's how we refer to this role at Mindrift - you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br><br>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br><br>What We Do<br><br>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br><br>About The Role<br><br>This is a freelance role for a Tendem project. As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and Open Router alongside your own resourceful approaches.<br><br>Key Responsibilities<br><br>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets. Leverage internal tools (Apify, Open Router) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements. Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle Java Script-rendered content and changing site behavior. Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery. Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes<br><br>Compensation<br><br>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.<br><br>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.<br><br>How To Get Started<br><br>Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule. From coding and automation to fine-tuning AI outputs, you'll play a key role in advancing AI capabilities and real-world applications.<br><br>Requirements<br><br>At least 3 year of relevant experience in data engineering, web scraping, automation, or software development (required). Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus Strong experience in Python web scraping (Beautiful Soup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to Git Hub is a plus English proficiency: Upper-intermediate (B2) or above (required)<br><br>Benefits<br><br>Why this freelance opportunity might be a great fit for you? <br><br>Work fully remote on your own schedule with just a laptop and stable internet connection. Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field. Participate in performance-based bonus programs that reward high-quality work and consistent delivery

Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system. <br><br>In this role, as an AI Pilot - that's how we refer to this role at Mindrift - you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br><br>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br><br>What We Do<br><br>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br><br>About The Role<br><br>This is a freelance role for a Tendem project. As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and Open Router alongside your own resourceful approaches.<br><br>Key Responsibilities<br><br>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets. Leverage internal tools (Apify, Open Router) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements. Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle Java Script-rendered content and changing site behavior. Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery. Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes<br><br>Compensation<br><br>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.<br><br>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.<br><br>How To Get Started<br><br>Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule. From coding and automation to fine-tuning AI outputs, you'll play a key role in advancing AI capabilities and real-world applications.<br><br>Requirements<br><br>At least 3 year of relevant experience in data engineering, web scraping, automation, or software development (required). Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus Strong experience in Python web scraping (Beautiful Soup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to Git Hub is a plus English proficiency: Upper-intermediate (B2) or above (required)<br><br>Benefits<br><br>Why this freelance opportunity might be a great fit for you? <br><br>Work fully remote on your own schedule with just a laptop and stable internet connection. Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field. Participate in performance-based bonus programs that reward high-quality work and consistent delivery

Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.ai/) and drive specialized data scraping workflows for real-world use cases. Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br><br>What We Do<br><br>The Mindrift platform connects specialists with innovative technology projects. Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br><br>About The Role<br><br>This is a freelance role for a Tendem project. As a Senior Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, Open Router, and other technologies, alongside your own technical expertise and approaches.<br><br>Key Responsibilities<br><br>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle Java Script-rendered content and changing site behavior Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes<br><br>Educational Qualifications<br><br>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required) Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus<br><br>Academic and/or Professional Experience<br><br>Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.<br><br>Technical Skills (Essential)<br><br>Strong experience in Python web scraping (Beautiful Soup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)<br><br>Additional Requirements<br><br>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (Lang Chain, Open Router, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to Git Hub is a plus English proficiency: Upper-intermediate (B2) or above (required)<br><br>Project time expectations <br><br>For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.<br><br>Compensation<br><br>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Please submit your CV in English and indicate your level of English proficiency.<br><br>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves:<br><br>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br><br>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<br><br>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<br><br>What this is NOT:<br><br>Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate<br><br>What we look for:<br><br>8+ years in software development Core stack: Python (Fast API), Java Script/Type Script (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+<br><br>Why this is hard:<br><br>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br><br>How It Works<br><br>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Effort estimate<br><br>Tasks for this project are estimated to take 30 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br><br>Compensation:<br><br>Paid per accepted task. Your rate depends on the qualification tier you reach and how efficiently you complete tasks — up to the equivalent of $200/hr. Because payment is per task, a faster pace raises your effective hourly rate.

Please submit your CV in English and indicate your level of English proficiency.<br><br>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves:<br><br>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br><br>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<br><br>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<br><br>What this is NOT:<br><br>Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate<br><br>What we look for:<br><br>8+ years in software development Core stack: Python (Fast API), Java Script/Type Script (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+<br><br>Why this is hard:<br><br>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br><br>How It Works<br><br>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Effort estimate<br><br>Tasks for this project are estimated to take 30 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br><br>Compensation:<br><br>Up to $200/hr equivalent, depending on level and pace. Tasks are estimated at :30 hours each; you set your own schedule.

Please submit your CV in English and indicate your level of English proficiency.<br><br>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves:<br><br>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br><br>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<br><br>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<br><br>What this is NOT:<br><br>Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate<br><br>What we look for:<br><br>8+ years in software development Core stack: Python (Fast API), Java Script/Type Script (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+<br><br>Why this is hard:<br><br>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br><br>How It Works<br><br>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Effort estimate<br><br>Tasks for this project are estimated to take 30 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br><br>Compensation:<br><br>Up to $200/hr equivalent, depending on level and pace. Tasks are estimated at :30 hours each; you set your own schedule.

المهام والمسؤوليات:تحليل متطلبات الأنظمة والبرامج بالتعاون مع الجهات المعنية.تصميم وتطوير التطبيقات والبرامج وفق المواصفات المطلوبة.كتابة الأكواد البرمجية واختبارها وتصحيح الأخطاء البرمجية.تحديث وصيانة البرامج الحالية وتحسين أدائها.إعداد وتوثيق البرامج والأنظمة والإجراءات الفنية.التكامل مع قواعد البيانات والأنظمة الأخرى عند الحاجة.تقديم الدعم الفني للمستخدمين فيما يتعلق بالبرامج المطورة.الالتزام بمعايير أمن المعلومات وجودة البرمجيات وأفضل الممارسات في التطوير.متابعة التقنيات الحديثة واقتراح الحلول التي تسهم في تطوير الأنظمة.المؤهلات المطلوبة:درجة البكالوريوس في علوم الحاسب أو هندسة البرمجيات أو تقنية المعلومات أو ما يعادلها.إتقان لغة برمجة واحدة أو أكثر مثل Java أو C# أو Python أو PHP أو Java Script.معرفة جيدة بقواعد البيانات مثل SQL Server أو MySQL أو Oracle.القدرة على تحليل المشكلات وإيجاد الحلول البرمجية المناسبة.مهارات العمل ضمن فريق والتواصل الفعال وإدارة الوقت.الهدف من الوظيفة:تطوير وصيانة الأنظمة والتطبيقات البرمجية بما يدعم تحقيق أهداف المؤسسة، ويرفع كفاءة العمليات، ويضمن تقديم حلول تقنية موثوقة وآمنة تلبي احتياجات المستخدمين

Abdulaziz Al‑Zaid Professional Consulting (AZ) is building a scalable B2B Saa S platform that digitizes and automates regulated, document-heavy professional workflows — from client intake and structured data capture to quality controls, approvals, and controlled report issuance — integrated with CRM, analytics, and enterprise systems.<br>We are hiring a hands‑on Senior Agentic AI Engineer to design and ship production‑grade LLM agent systems that automate real workflows (not demos). You will work closely with leadership and a lean engineering team to deliver AI capabilities that are measurable, reliable, secure, and commercially deployable.<br>What you’ll deliver (outcomes) Ship production LLM/agent capabilities that reduce manual effort across intake, validation, evidence extraction, drafting, QA checks, routing, and approvals. Build robust agentic workflows (tool use, routing, state management) with reliability patterns (timeouts, retries, fallbacks) and clear observability. Implement evaluation and quality measurement (offline tests + online monitoring) to continuously improve accuracy, safety, and cost performance. Package repeatable AI solutions that can be deployed internally and offered to clients as deliverables (scoping → delivery → measurable outcomes).<br>Key responsibilities Design and implement multi‑step / tool‑using LLM workflows (function calling, external APIs, RAG, structured outputs). Build reusable orchestration patterns (routing, memory/state, task decomposition, guardrails, error recovery). Own LLMOps: deployment, monitoring, prompt/version management, evaluation harnesses, cost/latency control. Integrate agents with business systems (CRM, document/report pipelines, approvals, analytics) using secure APIs and role/permission models. Establish engineering standards for AI delivery: testing, reliability, logging, incident response, and measurable KPIs (quality, cycle time, adoption). Support client-facing AI delivery where needed (requirements, estimation, proof, rollout).<br>Must‑have (we will screen for this) Proven track record shipping LLM/agent systems into production (not only POCs). Strong experience with tool‑using agents: function calling, API integrations, RAG, structured outputs, and reliability patterns. Hands‑on Python development (production code, services, testing, integrations). Strong understanding of backend systems, APIs, auth, data stores, and production operations. Ability to work fast with a lean team and own delivery end‑to‑end.<br>Strong advantage Experience in regulated / auditable workflows (approvals, audit trails, evidence, controlled issuance). Azure-based delivery experience (or equivalent cloud), including CI/CD and monitoring. Familiarity with agent orchestration frameworks (Lang Graph / Semantic Kernel / Auto Gen / Crew AI or similar). Experience building AI-enabled products with evaluation and measurement discipline.<br>Location Riyadh, Saudi Arabia — On‑site (Full‑Time) Candidates outside Riyadh are welcome if able to relocate.<br>How to apply Email jobs@azv.sa with:CVLinks or brief evidence of shipped work (Git Hub, demos, case summaries — redacted if needed) Your monthly all‑in compensation expectation + notice period Email subject: Senior Agentic AI Engineer – Riyadh#Hiring #Riyadh #Saudi Arabia #AIEngineer #LLM #Gen AI #Agentic AI #Multi Agent #RAG #Function Calling #Python #Azure #Saa S #B2B

Artificial Intelligence Jobs Opportunity Building and Maintaining Hierarchical/Hybrid Multi-Agent Reinforcement Learning (MARL) System with Agent Orchestration and RAG Architecture Job Title: AI Developer, AI/ML/LLM Specialist – Graduate Python Developer Job Description: Building and Maintaining Hierarchical/Hybrid Multi-Agent Reinforcement Learning(MARL) System with Agent Orchestration and RAG Architecture using Python and Lang Graph of Lang Chain and other tools Job Type: Full-Time Location: Advanced Analytics, Riyadh, Saudi Arabia About UsAdvanced Analytics is a leading innovator in Decision Support Systems using artificial intelligence and multi-agent frameworks, dedicated to solving complex challenges through cutting-edge technology. We are seeking a talented and driven new graduate to join our team as a Python Developer to design and implement a Hierarchical/Hybrid Multi-Agent Reinforcement Learning (MARL) System with Agent Orchestration and RAG (Retrieval-Augmented Generation) Architecture. This is an exciting opportunity to work on state-of-the-art AI projects that push the boundaries of what’s possible in multi-agent systems and knowledge-driven workflows. Key Responsibilities Develop Hierarchical/Hybrid MARL Systems:Design and implement multi-agent reinforcement learning (MARL) systems that utilize hierarchical or hybrid architectures. Apply advanced RL techniques, such as Centralized Training with Decentralized Execution (CTDE), MADDPG, and QMIX, to enable agent collaboration and coordination. Integrate RAG Pipelines into Agent Workflows:Build Retrieval-Augmented Generation (RAG) pipelines to optimize information retrieval and decision-making for agents. Leverage vector databases (e.g., Pinecone, FAISS, or Weaviate) and embedding techniques for context-aware retrieval. Design Agent Orchestration Frameworks:Use Lang Graph to create dynamic workflows for agent orchestration, where agents can invoke other agents, external tools, or APIs. Develop hierarchical agent structures with task-managing agents orchestrating sub-agents for specific problem domains. Optimize System Performance and Scalability:Build scalable multi-agent systems capable of handling high-volume tasks and large-scale data. Optimize performance in distributed and cloud-based environments. Collaborate and Experiment:Work closely with AI researchers, engineers, and developers to define system requirements and architectures. Conduct experiments to evaluate and iterate on MARL, RAG, and agent orchestration designs. Write Clean, Modular Python Code:Develop maintainable and reusable code using best practices in Python development, including asynchronous programming, modular design, and version control. Required Skills and Qualifications Essential:Education: Bachelor’s degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field. Programming Skills: Advanced Python skills, including experience with libraries such as Num Py, pandas, and scikit-learn. Multi-Agent Systems: Understanding of multi-agent systems, including hierarchical architectures and agent coordination. Reinforcement Learning (RL):Familiarity with RL algorithms such as Q-learning, DDPG, and Actor-Critic methods. Knowledge of MARL frameworks like CTDE, MADDPG, QMIX, or QTRAN. Retrieval-Augmented Generation (RAG):Experience with RAG pipelines for information retrieval and response generation. Familiarity with vector similarity search tools (e.g., Pinecone, FAISS, or Weaviate). Lang Graph/Agent Orchestration: Knowledge of Lang Graph or similar agent orchestration frameworks for building workflows. Problem-Solving: Strong analytical and debugging skills to tackle complex AI challenges. Team Collaboration: Excellent communication skills to work effectively in cross-functional teams. Preferred:NLP and RAG Integration: Experience with NLP frameworks like Hugging Face Transformers for integrating language models into RAG workflows. Cloud and Distributed Systems: Familiarity with cloud platforms (AWS, GCP, or Azure) for deploying and scaling multi-agent systems. Experimentation Tools: Experience with tools like Weights & Biases or Tensor Board for tracking RL experiments. Graph-Based Approaches: Knowledge of graph-based algorithms and tools (e.g., Network X) for agent relationships or task modeling. Knowledge Representation: Familiarity with knowledge graphs and ontologies for agent reasoning. Asynchronous Programming: Experience with multi-threading or asynchronous programming in Python for agent orchestration. Tools and Technologies Languages and Libraries: Python, Num Py, pandas, PyTorch, Tensor Flow, Stable-Baselines3. Multi-Agent and RL Frameworks: Open AI Gym, Petting Zoo, Lang Graph, Lang Chain. Auto Gen or Crew AIRAG and Vector Search Tools: Pinecone, FAISS, Weaviate, Milvus. Cloud Deployment: AWS, GCP, or Azure. Orchestration Tools: Lang Graph, Docker, Kubernetes. Experiment Tracking: Weights & Biases, Tensor Board. What We Offer Competitive salary, benefits and bonuses Opportunity to work on cutting-edge AI and multi-agent systems. Mentorship and training to accelerate your career growth. A collaborative and inclusive work environment with flexible hours. The chance to make an impact with innovative AI solutions. How to Apply Submit your resume, a cover letter, and any relevant project portfolio to HR Manager. Ms. Mashael Alhazmi at ]. We’re looking for passionate individuals excited to make a difference in the field of AI and multi-agent systems!

Greetings from Linnk Group….<br>Job Title: Automation and Data Transformation Specialist Location: Saudi Arabia Contract: Yearly Renewable<br>Role Overview We are looking for an experienced Automation and Data Transformation Specialist to design and implement automated data workflows that improve business efficiency. The ideal candidate should have strong expertise in Python, Alteryx, and Denodo, with experience in data integration, automation, and enterprise reporting. Banking domain experience is preferred.<br><br>Key Responsibilities Develop and automate business workflows using Python, Alteryx, and Denodo. Gather business requirements and prepare BRDs and process documentation. Generate dynamic reports and dashboards in Excel, PDF, and Power Point using enterprise data. Integrate data from EDW and APIs while ensuring data quality and integrity. Collaborate with business and technical teams to deliver automation solutions. Support data governance initiatives and optimize automation performance.<br>Required Qualifications Bachelor's or Master's degree in Computer Science, Data Science, or a related field.5+ years of experience in data automation and transformation. Strong hands-on experience with Python, Alteryx, Denodo, and Excel automation. Experience with API integration, EDW, and data transformation. Exposure to Collibra or other data governance tools is preferred. Strong analytical, problem-solving, and communication skills. Banking domain experience is preferred. If you are excited share your profile to Ashwija@linnk.com

Key Responsibilities Provide L2/L3 support for Linux systems and resolve complex incidents. Troubleshoot Linux OS issues, including boot failures, kernel issues, services, package management, upgrades, and migrations. Perform OS patching, vulnerability management, and system hardening. Optimize Linux system performance for CPU, memory, storage, and NVIDIA GPU workloads. Develop and maintain automation using Ansible, Puppet, Bash, and Python. Manage infrastructure lifecycle using Git Lab CI/CD and Infrastructure as Code (IaC). Support VDI technologies including SLURM, AWS DCV, Docker, and Kasm Workspaces. Configure and maintain scientific runtime environments using Lmod/Environment Modules. Administer Linux agents such as Automox, Nessus, and Puppet. Support NFS/SMB storage and troubleshoot containerized workloads. Perform root cause analysis (RCA) and implement preventive automation improvements. Coordinate with infrastructure teams for issues beyond the VDI layer. Required Skills Linux Administration (Ubuntu LTS & Rocky Linux) NVIDIA GPU-enabled Linux environments Ansible & Puppet Automox Git Lab CI/CDBash & Python scripting Infrastructure as Code (IaC) Docker & Kasm Workspaces SLURM & AWS DCVNFS/SMB Storage Nessus Linux OS Patching & Hardening Performance Tuning Scientific Runtime Environment (Lmod/Modules) Mandatory Requirements Strong Linux L2/L3 administration and troubleshooting experience. Hands-on experience with Ubuntu LTS and Rocky Linux. Experience managing NVIDIA GPU compute environments. Expertise in Ansible, Puppet, Automox, and Git Lab CI/CD. Strong automation and scripting skills using Bash and Python. Experience supporting Docker-based container platforms. Knowledge of SLURM, AWS DCV, and Kasm Workspaces is preferred. Experience with scientific software runtime and environment modules. Knowledge of NFS/SMB storage administration. Ability to provide on-site infrastructure support.

Key Responsibilities Provide L2/L3 support for Linux systems and resolve complex incidents. Troubleshoot Linux OS issues, including boot failures, kernel issues, services, package management, upgrades, and migrations. Perform OS patching, vulnerability management, and system hardening. Optimize Linux system performance for CPU, memory, storage, and NVIDIA GPU workloads. Develop and maintain automation using Ansible, Puppet, Bash, and Python. Manage infrastructure lifecycle using Git Lab CI/CD and Infrastructure as Code (IaC). Support VDI technologies including SLURM, AWS DCV, Docker, and Kasm Workspaces. Configure and maintain scientific runtime environments using Lmod/Environment Modules. Administer Linux agents such as Automox, Nessus, and Puppet. Support NFS/SMB storage and troubleshoot containerized workloads. Perform root cause analysis (RCA) and implement preventive automation improvements. Coordinate with infrastructure teams for issues beyond the VDI layer. Required Skills Linux Administration (Ubuntu LTS & Rocky Linux) NVIDIA GPU-enabled Linux environments Ansible & Puppet Automox Git Lab CI/CDBash & Python scripting Infrastructure as Code (IaC) Docker & Kasm Workspaces SLURM & AWS DCVNFS/SMB Storage Nessus Linux OS Patching & Hardening Performance Tuning Scientific Runtime Environment (Lmod/Modules) Mandatory Requirements Strong Linux L2/L3 administration and troubleshooting experience. Hands-on experience with Ubuntu LTS and Rocky Linux. Experience managing NVIDIA GPU compute environments. Expertise in Ansible, Puppet, Automox, and Git Lab CI/CD. Strong automation and scripting skills using Bash and Python. Experience supporting Docker-based container platforms. Knowledge of SLURM, AWS DCV, and Kasm Workspaces is preferred. Experience with scientific software runtime and environment modules. Knowledge of NFS/SMB storage administration. Ability to provide on-site infrastructure support.

Role- AI Developer Experience Range - 8+ Years Location - Riyadh, Saudi Arabia (Onsite)<br>Must-Have Skills. Seeking a Senior Python Developer with strong expertise in AI, OCR technologies, and Agentic AI frameworks to join our team. The ideal candidate will bring hands-on experience in building AI-driven solutions, integrating advanced OCR systems, and applying Agentic AI patterns to real-world use cases. This role requires deep technical skills in Python, a solid understanding of Lang Graph, Crew AI, prompt engineering, and the ability to architect and optimize intelligent workflows. Experience with LLaVA, LLaMA, or other open-source LLMs. Familiarity with document intelligence systems and multilingual text processing. Knowledge of vector databases (e.g., Pinecone, Weaviate, FAISS) for retrieval-augmented generation. Experience in building scalable AI pipelines with message queues or workflow orchestration tools. Contributions to open-source projects in AI/LLMs/OCR.

We're Hiring: Dev Ops Engineer (6-Month Extendable Contract) | Riyadh, Saudi Arabia<br><br>Immediate joiners ONLY: Targeting Candidates Available to Start Next Wee<br>We are supporting a leading consulting firm in Saudi Arabia on a project with a major government ministry. They are looking for an experienced Dev Ops Engineer to join immediately.<br>Location: Riyadh, Saudi Arabia (On-site) Duration: 6 months (extendable) Start: Immediate Joiner Required<br><br>Key Responsibilities:• Implement and maintain CI/CD pipelines for secure, continuous deployments• Work within air-gapped MoD environments• Automate configuration and container hardening using Ansible and Bash/Python• Manage builds, deployments, and YAML manifests• Perform environment validations and handle secrets management via Vault• Troubleshoot enterprise-scale pipeline issues<br>Must-Have Skills:• Git Lab CI/CD• Open Shift and kuberentes knowldge is very crucial.• Helm• Docker / Podman• Ansible• Bash / Python scripting• Secrets management (Hashi Corp Vault)• Transferable Iqama<br>ONLY apply if you meet all the Must have skills<br>???? Interested? Send your CV to Abdelaziz@aventusglobal.com

• Provide L2/L3 support for Linux systems and resolve complex incidents.• Troubleshoot Linux OS issues, including boot failures, kernel issues, services, package management, upgrades, and migrations.• Perform OS patching, vulnerability management, and system hardening.• Optimize Linux system performance for CPU, memory, storage, and NVIDIA GPU workloads.• Develop and maintain automation using Ansible, Puppet, Bash, and Python.• Manage infrastructure lifecycle using Git Lab CI/CD and Infrastructure as Code (IaC).• Support VDI technologies including SLURM, AWS DCV, Docker, and Kasm Workspaces.• Configure and maintain scientific runtime environments using Lmod/Environment Modules.• Administer Linux agents such as Automox, Nessus, and Puppet.• Support NFS/SMB storage and troubleshoot containerized workloads.• Perform root cause analysis (RCA) and implement preventive automation improvements.• Coordinate with infrastructure teams for issues beyond the VDI layer. Required Skills• Linux Administration (Ubuntu LTS & Rocky Linux)• NVIDIA GPU-enabled Linux environments• Ansible & Puppet• Automox• Git Lab CI/CD• Bash & Python scripting• Infrastructure as Code (IaC)• Docker & Kasm Workspaces• SLURM & AWS DCV• NFS/SMB Storage• Nessus• Linux OS Patching & Hardening• Performance Tuning• Scientific Runtime Environment (Lmod/Modules)

Role: Cloud Engineer_ Infra App Mod Total Work Experience: 4+ years Location: Kuwait, Saudi Arabia<br>Job Responsibilities Partner with customers and partners to manage and deliver successful cloud solutionimplementations, acting as a trusted technical advisor. Propose and deploy solution architectures on GCP, focusing on Python-drivenautomation, robust CI/CD pipelines, and secure GKE infrastructure. Collaborate with client stakeholders to design and manage cutting-edge applicationson GCP, prioritizing secure network topology and strict IAM principles.<br>Must-Have Qualifications Solid practical experience developing and debugging software tools, automationscripts, or microservices using Python. Strong practical experience with Kubernetes (GKE), including deployment management,configuration, and troubleshooting. Solid understanding of Cloud Networking principles (VPCs, Cloud Load Balancing, DNS,network security policies). Practical experience implementing Identity and Access Management (IAM) structuresfollowing the principle of least privilege. Proven track record of building and optimizing CI/CD pipelines and utilizing Terraformfor infrastructure deployment.<br>Preferred Qualifications Systems design ability to understand and contribute to complex systems interactions(data flows, security boundaries). Google Cloud Professional Certification (e.g., Cloud Architect, Developer, or Dev Ops Engineer).